Assistant Professor of Preventive Medicine, Assistant Professor of Computer Science, Northwestern University
Nabil Alshurafa is an Assistant Professor of Preventive Medicine and of Computer Science at Northwestern University. He received his Ph.D. in Computer Science at the University of California Los Angeles (UCLA) in 2015, where his dissertation was awarded the Computer Science outstanding graduating student award, and the Symantec outstanding research award. In 2015, Popular Science magazine highlighted his research on designing a wearable neck-worn sensor WearSens to distinguish between solid and liquid foods consumed. He currently directs the HABits Lab at Northwestern, which aims to bridge between computer science and behavioral science research. His current research seeks to transform our understanding of health constructs by designing objective verifiable wearable sensor measures, to more effectively design interventions that improve lifestyle habits. In 2018, he was awarded a five-year NIDDK NIH Career award, to develop expertise in obesity-related research and advance passive sensing of problematic eating behaviors. He is currently directing the SenseWhy study, which aims to lay the foundation for studying overeating behaviors among participants with obesity through passive wearable sensors.
Associate Professor, Department of Family Medicine & Public Health, Director, Center for Wireless & Population Health Systems, Faculty, Design Lab & Qualcomm Institute, UC San Diego
Dr. Eric Hekler, PhD, is an Associate Professor in the Department of Family Medicine & Public Health in the University of California, San Diego (UCSD), the Director of the Center for Wireless & Population Health Systems within the Qualcomm Institute at UCSD, and the faculty member of the Design Lab at UCSD. His research is broadly focused on advancing methods in the design, creation, optimization, evaluation, and reuse (scaling up and out) of digital health technologies. His goal is to contribute towards a form of applied science that facilitates equitable participation, contribution, and benefit for all. There are three interdependent themes to his research, advancing: 1) methods for optimizing adaptive behavioral interventions; 2) methods and processes to help people and communities help themselves: and 3) research pipelines to achieve efficient, rigorous, context-relevant solutions for complex problems, a domain he and his colleagues have called agile science. He has over 100 publications that span the many disciplines he contributes and has an active federal and foundation funding. He is recognized internationally as an expert in the area of digital health.
Dr. Hnat is Chief Software Architect for the MD2K Center. He previously served as Assistant Professor of Computer Science at the University of Memphis. His research interests cover several areas of the construction and evaluation of distributed systems, including compilers, programming languages, networking, and wireless sensor networks. He seeks to harness the potential of distributed systems to affect and interact with the physical world to address mHealth issues.
Assistant Professor, School of Medicine UC San Diego
Dr. Camille Nebeker is an Assistant Professor in the School of Medicine at the University of California, San Diego. Dr. Nebeker is affiliated with the Divisions of Behavioral Medicine and Global Health in the Department of Family Medicine and Public Health. She also holds an adjunct faculty appointment with the San Diego State University Graduate School of Public Health and is an affiliated investigator with the UC San Diego Research Ethics Program. Dr. Nebeker’s research focuses on the design of research/bioethics educational initiatives designed for traditional and non-traditional learners with a goal of trainee’s understanding and appreciation of factors that influence the ethical and responsible conduct of research. Project BRIC (Building Research Integrity and Capacity), for example, has developed research ethics education for community members who have little/no formal academic research training yet, assist academic researchers to implement community- and clinic-based health research. Dr. Nebeker is also exploring the ethical dimensions of biomedical research (i.e., informed consent, risk assessment, data management) that leverages emerging technologies to collect personal health data (PHD). Dr. Nebeker is project director/principal investigator for the Connected and Open Research Ethics (CORE) initiative supported by the Robert Wood Johnson Foundation (RWJF) and the UC San Diego Chancellor’s Interdisciplinary Collaboratory Fellowship program and Project BRIC, which is supported by the federal Office of Research Integrity (ORI). Dr. Nebeker’s research has received continuous support from intra/extramural sources since 2002.
Assistant Professor of Information, School of Information, Assistant Professor of Health Behavior and Health Education, School of Public Health, University of Michigan
Predrag (Pedja) Klasnja is an assistant professor at the School of Information and holds a joint appointment with the Department of Health Behavior and Health Education in the School of Public Health at the University of Michigan. He is a member of the Michigan Interactive & Social Computing group, an interdisciplinary group of researchers interested in human-computer interaction and social computing. Dr. Klasnja received a PhD in information science from the Information School at the University of Washington. He then served as a National Library of Medicine Postdoctoral Fellow in the Division of Biomedical and Health Informatics at the University of Washington. Dr. Klasnja joined the SI faculty in July 2012, and his areas of interest include human-computer interaction, health informatics, and mobile computing.
Associate Professor, Institute for Social Research, University of Michigan
Inbal (Billie) Nahum-Shani is an Associate Professor at the Institute for Social Research, University of Michigan. Her research integrates Occupational Health Psychology and Quantitative Psychology to (a) develop technology-based supportive interventions for reducing stress and preventing problem behaviors among young adults and employed individuals; and (b) building adaptive interventions that are delivered via mobile devices and that provide support in real-time to people as they go about their daily lives (Just-in-Time Adaptive Interventions). She is a founding member and co-director of the d3lab (Data Science for Dynamic intervention Decision-making lab) at the University of Michigan.
Software Engineer, Educational Lead, Amazon Web Services
Mr. Eldredge is a software engineer/educational lead for Amazon Web Services (AWS) and focuses on educational and healthcare groups. His key responsibilities are to educate biomedical researchers how to harness the power of commercial cloud computing and to avail of the reliable, scalable, and inexpensive cloud computing services provided by AWS. In particular, he highlights AWS's wide range of services, including data analytics and machine learning as well as the attendant security and privacy controls that are essential for mHealth clinical studies.
After building her own DIY “artificial pancreas,” Dana Lewis helped found the open source artificial pancreas movement (known as “OpenAPS”), making safe and effective artificial pancreas technology available (sooner) for people with diabetes around the world. She is a passionate advocate of patient-centered, -driven, and -designed research. Rather than coming from a traditional engineering background, Dana brings together a mix of technical and communication skills and a unique perspective to focus on bringing together individuals regardless of their traditional “role” in healthcare. She is an experienced community builder and facilitator and has taken a leadership role in a number of research projects that bring together diverse perspectives (academic, industry, government, and patient communities, to name a few). She is currently collaborating with, PI, or co-PI on research projects with different teams from MIT, Johns Hopkins, Stanford, Arizona State University, and others around the world. These teams bring together computer and data scientists, healthcare providers, economists, social and behavioral scientists, and others alongside patients to study the different ramifications of projects in open source, patient-led communities. Most notably, she currently serves as Principal Investigator for a Robert Wood Johnson Foundation funded grant project called “Opening Pathways” (OpeningPathways.org) to learn more about patient-led innovation and scientific discovery, and scale it in additional patient communities.
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